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Alberto Sangiovanni-Vincentelli

Researcher at University of California, Berkeley

Publications -  946
Citations -  47259

Alberto Sangiovanni-Vincentelli is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Logic synthesis & Finite-state machine. The author has an hindex of 99, co-authored 934 publications receiving 45201 citations. Previous affiliations of Alberto Sangiovanni-Vincentelli include National University of Singapore & Lawrence Berkeley National Laboratory.

Papers
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Noise Analysis of Radio Frequency Circuits

TL;DR: In this article, the authors present a survey of existing techniques for noise analysis of non-autonomous circuits with multitone inputs and phase-locked loops, as well as a solution for SDEs.
Proceedings ArticleDOI

Randomized protocol stack for ubiquitous networks in indoor environment

TL;DR: A novel protocol architecture for ubiq- uitous networks based on a randomized routing, MAC and duty cycling protocols that allow for performance and reliability leveraging node density and a completely distributed algorithm is presented.
Proceedings ArticleDOI

System-level power/performance analysis of portable multimedia systems communicating over wireless channels

TL;DR: An analytical approach based on concurrent processes modeled as Stochastic Automata Networks (SANs) that can be effectively used to integrate power and performance metrics in system-level design is introduced.
Proceedings ArticleDOI

Are interface theories equivalent to contract theories

TL;DR: This paper introduces a natural transformation of interfaces to A/G contracts represented by linear temporal logic, and shows that the transformation preserves refinement, but does not generally preserve serial composition and conjunction.
Proceedings ArticleDOI

Semi-analytical techniques for substrate characterization in the design of mixed-signal ICs

TL;DR: In this article, a three-dimensional Green's Function based substrate representation, in combination with the use of the Fast Fourier Transform, significantly speeds up the computation of sensitivities with respect to all parameters associated with a given architecture and is used in a number of physical optimization tools, such as placement and trend analysis for the estimation of the impact of technology migration and/or layout re-design.